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- Perform data cleaning, wrangling, and exploration using SQL, Python, or R
- Apply statistical and machine learning techniques to analyze data and generate insights
- Create data visualizations and dashboards using tools such as Tableau and PowerBI
- Communicate findings and recommendations to stakeholders using clear and concise reports and presentations
- Contribute to the development and improvement of AWS ML pipelines and workflows
- Provide general analytical support, to both internal sales team members and business partners
- Ensure accuracy and completeness of analysis and results are presented through partnership with the business teams
- Present data-driven recommendations to the business stake holders
- 10 week paid assignment.
- In person orientation on Day 1 including a tour of the site, overview of the company and welcome message from senior leaders.
- Professional development from dedicated program manager and peer mentors.
- Small, selective program that allows for more focused attention and support.
- Full commitment from senior leadership to ensure the program is challenging, meaningful and supportive.
- Resume review and LinkedIn clinic
- Bachelors in progress in Statistics, Data Science or related field.
- Pursuing a bachelor's degree in data science, computer science, statistics, mathematics, or a related field
- Strong background academically, in statistics, mathematics, artificial intelligence, research methods, experiment design, mindset to build novel solutions beyond the use of well-established methods.
- Read and write code in Python and SQL. Knowledge of R Language and packages such as Pandas, Plotly, Numpy is a plus.
- Fundamental Knowledge of data analysis and machine learning concepts and techniques is a needed. Knowledge on advanced modeling techniques such as neural networks, support vector machines, cluster analyses, and ensembling methods is a plus
- Experience with data visualization tools such as Tableau and PowerBI is a plus
- Proficient in Microsoft Excel with strong attention to detail
- Comfortable with preparing or collaborating on presentation decks as well as delivering final stakeholder presentations as primary or supporting presenter
All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, disability, sex, age, ethnic or national origin, marital status, sexual orientation, gender identity or presentation, pregnancy, genetics, veteran status or any other status protected by state or federal law.
Please view the electronic EEO is the Law Poster which serves to inform you of your equal employment opportunity protections as part of the application process.
Reasonable Accommodation for Job Seekers with a Disability: If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to [email protected].
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